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一种改进鲁棒性的CAB盲波束形成算法
New robust blind beamforming based on CAB algorithm
【摘要】 基于边界误差性能最优准则的鲁棒性方法是波束形成算法领域内的最新研究热点,将该鲁棒性方法与CAB(周期自适应波束形成)算法相结合,提出了一种新的改进鲁棒性的CAB盲波束形成算法。该算法与采用传统对角线加载技术的R-CAB盲波束形成算法相比,进一步提高了稳健性和输出信干噪比。计算机仿真验证了该算法的可行性和有效性。
【Abstract】 The robust method based on worst-case performance opimization is popular in the research field of beamforming.By combining the new robust method with CAB(cyclic adaptive beamforming)algorithm,a new robust blind beamforming based on CAB algorithm is proposed.The presented algorithm achieves better robustness and higher SINR than previous algorithm which used conventional diagonal loading technique.Computer simulations comfirm superior capability of the proposed algorithm.
【关键词】 边界误差性能最优准则;
鲁棒性波束形成;
CAB算法;
【Key words】 worst-case performance; optimization; robust beamforming; CAB algorithm;
【Key words】 worst-case performance; optimization; robust beamforming; CAB algorithm;
- 【文献出处】 系统工程与电子技术 ,Systems Engineering and Electronics , 编辑部邮箱 ,2006年07期
- 【分类号】TN911.2
- 【被引频次】4
- 【下载频次】120